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Data Reconciliation: Exact Row Deduplication + Date by Category Pivot
x402
Data Reconciliation: Exact Row Deduplication + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Deduplicates exact duplicate rows and produces a date-by-category pivot report from supplied data reconciliation records (source_total vs target_total) — up to 200 rows, 2 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing identical rows from the supplied reconciliation dataset, and (2) a date-by-category pivot table aggregating the selected field (source_total or target_total) across dataset groups and dates. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline reconciliation cleanup
“I have 120 reconciliation records from my ETL pipeline with row_id, dataset_group, date, source_total, and target_total — can you remove exact duplicate rows and give me a pivot of source_total values broken down by date and category?”
Finance team source vs target audit
“Our finance team exported 80 rows comparing source and target totals across two dataset groups. Can you deduplicate the exact duplicates and generate a date-by-category pivot on the target_total field so we can spot discrepancies?”
Data quality check before monthly report
“Before I finalize the monthly report, run deduplication and a date-by-category pivot on these 60 reconciliation records — fields are row_id, dataset_group, date, source_total, and target_total — and use source_total for the pivot.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication AND a date-by-category pivot in a single low-cost call ($0.01 USDC) on up to 200 reconciliation records with source_total and target_total fields. Prefer it over generic analytics tools when your data is already structured as reconciliation records with dataset_group and date dimensions, and you want deterministic, locally computed results with no external data access or predictions.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range cause validation failure
- Empty rows array (minItems: 1 not met) returns error
- Invalid field enum value (not 'source_total' or 'target_total') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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